Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Read,' which implies a read-only operation, but it does not explain what 'verified' means, whether results are filtered, what side effects or auth requirements exist, or how latency/circuit-breaker data is represented.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the verb and resource. It contains no filler and is appropriately sized for a simple read operation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with one optional parameter and no output schema, the description covers the core purpose but leaves gaps: it does not describe the return shape, ordering, or what 'verified' filters out. These gaps are meaningful because no output schema or annotations fill them.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not mention the 'limit' parameter at all. The parameter name and min/max constraints in the schema give some inherent meaning, but the description adds no further explanation of how limit affects the returned provider health data.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Read') and a specific resource: provider health, circuit-breaker, and latency state. This makes the tool's purpose understandable, though it does not explicitly contrast it with sibling status/list tools like gf.universal_status or gf.list_services.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives. There are no exclusions, conditions, or references to sibling tools, leaving the agent to infer usage solely from the tool's name and brief description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.